DTable Server Config¶
{
"host": "db",
"user": "root",
"password": "MYSQL_PASSWORD",
"database": "dtable_db",
"port": 3306,
"private_key": "xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx",
"dtable_web_service_url": "https://example.seatable.com/",
"redis_host": "redis",
"redis_port": 6379,
"redis_password": "",
"enable_notification_publish": true/false,
"rows_api_minute_max": 100,
"rows_api_hour_max": 6000,
"worker_threads_num": 2,
"save_interval": 5 * 60 * 1000,
"api_req_max": 600,
"api_base_day_max": 5000,
"rows_api_max_limit": 1000,
}
redis_password¶
It is an empty string
private_key¶
It must be the same as the DTABLE_PRIVATE_KEY
in dtable_web_settings.py
dtable_web_service_url¶
It is used for dtable-server to access dtable-web. It is optional since 1.1.0. If it is not specified, 127.0.0.1:8000 will be used.
enable_notification_publish¶
It is used for publishing the notification to the "notification-added" channel of redis, default by false. This is designed for the integration to the third-party application which will be able to receive the real-time notification.
rows_api_minute_max / rows_api_hour_max¶
The maximum number of listing rows API calls within 1 minute / hour. Listing rows in a large base involving converting internal representation to end-user friendly representation, which will cost a few seconds for 10K+ rows. So the API should be limited more than other APIs.
api_req_max / api_base_day_max¶
- api_req_max: The maximum number of API calls to a base within 1 minute. The default value is 600.
- api_base_day_max: The maximum number of API calls to a base within 1 day. The default value is 5000.
worker_threads_num¶
Number of worker threads serving list rows API. (only used for custom share or view share, therefore a change is not necessary).
save_interval¶
Interval for saving changed bases to persistent storage (dtable-storage-server). The default is 5 minutes.
rows_api_max_limit¶
Maxmum number of rows returned by calling list rows API in dtable-server, default by 1000
Notice¶
You should restart the SeaTable after the modification of these settings by run the code below:
docker exec -d seatable /shared/seatable/scripts/seatable.sh restart